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Survey Data Analysis in Applied Settings

為了解決r design的問題，作者Griffith, James F./ Benoit, Gregory 這樣論述：

Survey Data Analysis in Applied Settings provides readers with an accessible hands-on approach to modern day applied survey data analysis. It offers detailed insights and step-by-step methods and techniques to collect, prepare, analyze and interpret survey data. The book covers the presentation o

f data, an overview of survey design, nonresponse and missing data analysis, and an awareness of the hidden biases that often underlie poorly analyzed survey data. A companion website features computer code (primarily for R) that can be manipulated by the reader for their own purpose. Methodically g

uides readers through survey analysis via real-data examplesIncludes a companion website that provides customizable code for immediate useCovers scoring questionnaires, psychometric analysis, graphing and moreProvides a solid knowledge foundation for more advanced psychometrics

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數位平臺結合Google Classroom的英語學習成效之研究

為了解決r design的問題，作者許瓊文 這樣論述：

本研究旨在探討研究者欲解決國小英語學習課堂中所遇到之困境，規劃實體課程與課後非同步課程，以Google Classroom為媒介，並使用數位平臺進行「虛實整合」之課程規劃，以期達到英語學習成效。本研究採準實驗設計法，將兩班級分為實驗組與對照組，皆以英語實體課程為主，但僅有實驗組輔以數位平臺練習。經過為期八週的實驗，並透過期中考之成績進行統計分析，檢視運用數位平臺作為延伸學習是否有助於提升英語學習成效。同時，透過學生學習心得回饋與教師成長及省思，進一步紀錄研究過程中的成長與收穫。從統計結果分析來看，兩組在成績上並無顯著差異；然而，在兩組成績前後測卻有顯著差異。由於疫情下所造成混成教學之必然性，

在學習成效上，兩班先維持基本成果，平均數相差不大，但實驗組標準差較對照組收斂。在從各大題分析兩組的答對率，進行探討造成此分數結果的差異。得到的結果與發現如下：一、某廠商雲端速測數位平臺運用在英語學習雖無顯著差異，有助於省思如何更有效率運用混成教學。二、77%學生對於使用某廠商雲端速測線上測驗數位平臺大多抱持正面的態度與看法。三、教師能透過規劃虛實整合之課堂，提升教師自我效能及專業成長。本研究提供給教學者以下建議：一、教學者可以補充更多題目，使學生達到精熟學習。二、教學者可以引導學生製作英語讀書計畫，紀錄學生自我學習成長。三、教學者善用混合教學之優勢，設計虛實整合之課程，將達到更好的學習效益。關

鍵字：數位平臺、英語學習、英語學習成效。

Beton + Design: Produkte - Technologien - Hersteller

為了解決r design的問題，作者Abel, Antje Maria 這樣論述：

Beton ist durch neue Technologien und Herstellungsmethoden auf dem Vormarsch in die Welt des Designs, der Wohn- und Arbeitswelten. Produkte wie Lichtbeton, Hochleistungsbetone oder faserbewehrte Materialien sorgen f r neue M glichkeiten in der Herstellung und Produktentwicklung von Waschbecken, K ch

en, Lampen, Bestecken, sogar hochwertigem Schmuck. Antje Maria Abel ist Dipl.-Ing. Architektin. Arbeitsschwerpunkte sind Architektur- und Projektentwicklung, Realisierung, Vermarktung und Vermietung von Hochbauprojekten national und international sowie journalistische Tätigkeiten.

An Integrated Approach For Uncovering Novel DNA Methylation Biomarkers For Non-small Cell Lung Carcinoma

為了解決r design的問題，作者VAIBHAV KUMAR SUNKARIA 這樣論述：

Introduction - Lung cancer is one of primal and ubiquitous cause of cancer related fatalities in the world. Leading cause of these fatalities is non-small cell lung cancer (NSCLC) with a proportion of 85%. The major subtypes of NSCLC are Lung Adenocarcinoma (LUAD) and Lung Small Cell Carcinoma (LUS

C). Early-stage surgical detection and removal of tumor offers a favorable prognosis and better survival rates. However, a major portion of 75% subjects have stage III/IV at the time of diagnosis and despite advanced major developments in oncology survival rates remain poor. Carcinogens produce wide

spread DNA methylation changes within cells. These changes are characterized by globally hyper or hypo methylated regions around CpG islands, many of these changes occur early in tumorigenesis and are highly prevalent across a tumor type.Structure - This research work took advantage of publicly avai

lable methylation profiling resources and relevant comorbidities for lung cancer patients extracted from meta-analysis of scientific review and journal available at PubMed and CNKI search which were combined systematically to explore effective DNA methylation markers for NSCLC. We also tried to iden

tify common CpG loci between Caucasian, Black and Asian racial groups for identifying ubiquitous candidate genes thoroughly. Statistical analysis and GO ontology were also conducted to explore associated novel biomarkers. These novel findings could facilitate design of accurate diagnostic panel for

practical clinical relevance.Methodology - DNA methylation profiles were extracted from TCGA for 418 LUAD and 370 LUSC tissue samples from patients compared with 32 and 42 non-malignant ones respectively. Standard pipeline was conducted to discover significant differentially methylated sites as prim

ary biomarkers. Secondary biomarkers were extracted by incorporating genes associated with comorbidities from meta-analysis of research articles. Concordant candidates were utilized for NSCLC relevant biomarker candidates. Gene ontology annotations were used to calculate gene-pair distance matrix fo

r all candidate biomarkers. Clustering algorithms were utilized to categorize candidate genes into different functional groups using the gene distance matrix. There were 35 CpG loci identified by comparing TCGA training cohort with GEO testing cohort from these functional groups, and 4 gene-based pa

nel was devised after finding highly discriminatory diagnostic panel through combinatorial validation of each functional cluster.Results – To evaluate the gene panel for NSCLC, the methylation levels of SCT(Secritin), FOXD3(Forkhead Box D3), TRIM58(Tripartite Motif Containing 58) and TAC1(Tachikinin

1) were tested. Individually each gene showed significant methylation difference between LUAD and LUSC training cohort. Combined 4-gene panel AUC, sensitivity/specificity were evaluated with 0.9596, 90.43%/100% in LUAD; 0.949, 86.95%/98.21% in LUSC TCGA training cohort; 0.94, 85.92%/97.37 in GEO 66

836; 0.91,89.17%/100% in GEO 83842 smokers; 0.948, 91.67%/100% in GEO83842 non-smokers independent testing cohort. Our study validates SCT, FOXD3, TRIM58 and TAC1 based gene panel has great potential in early recognition of NSCLC undetermined lung nodules. The findings can yield universally accurate

and robust markers facilitating early diagnosis and rapid severity examination.